Triple
T4675609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D11 motorway |
E103672
|
entity |
| Predicate | partOfTransportCorridorTo |
P58953
|
FINISHED |
| Object | northeastern Bohemia |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: northeastern Bohemia | Statement: [D11 motorway, partOfTransportCorridorTo, northeastern Bohemia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfTransportCorridorTo Context triple: [D11 motorway, partOfTransportCorridorTo, northeastern Bohemia]
-
A.
transportCorridor
Indicates a route or pathway used to move people, goods, or resources between locations.
-
B.
partOfRailwayCorridor
Indicates that one entity is a segment, component, or area belonging to or contained within a specific railway corridor.
-
C.
isIndustrialCorridor
Indicates that an area or route is designated and used primarily for industrial activities, facilities, or transportation.
-
D.
belongsToUrbanCorridor
Indicates that something is part of, contained within, or functionally integrated into a continuous urban corridor or urbanized area.
-
E.
isPublicTransportBackboneOf
Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd67c895dc8190ba648002ff54424b |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1:16 p.m.